Development of the digital model of the jewellery production process for resource optimisation and prediction

Q2 Engineering
Fei Lin, M. C. Wong, Ming Ge
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引用次数: 7

Abstract

ABSTRACT Smart manufacturing is becoming one of the core tendencies in manufacturing nowadays. In the conventional production process mode, the varieties in the production process, manpower processing time, and production scheduling lead to a big challenge in production process management. In order to keep pace with the rapid technology development and market demand diversification, digital and intelligent transformation became extremely essential for manufacturing industries. It is able to evaluate and manage the production process performance in a timely and scientific manner. With the digital model, the production efficiency can be improved and the resources management can be optimised based on the prediction. In this study, the traditional labour-intensive jewellery manufacturing is used and analysed to evaluate its digital model for the resource optimisation and prediction. By evaluating the production process by functional groups separately with the manpower level classification, the digital model could provide an automatic and efficient solution to its production process management system and logistic flow. It eliminates the unnecessary time-consuming working process and enhances the working process efficiency, which is capable of optimising the entire production efficiency as well as performing the resource prediction.
开发珠宝生产过程的数字模型,用于资源优化和预测
摘要智能制造正成为当今制造业的核心趋势之一。在传统的生产过程模式中,生产过程的多样性、人力处理时间和生产调度给生产过程管理带来了巨大挑战。为了跟上技术的快速发展和市场需求的多样化,数字化和智能化转型对制造业至关重要。能够及时、科学地评估和管理生产过程绩效。通过数字模型,可以提高生产效率,并基于预测优化资源管理。在本研究中,使用并分析了传统的劳动密集型珠宝制造业,以评估其用于资源优化和预测的数字模型。该数字模型通过按功能组分别对生产过程进行评估,并对人力水平进行分类,可以为其生产过程管理系统和物流提供自动化、高效的解决方案。它消除了不必要的耗时工作过程,提高了工作过程的效率,能够优化整个生产效率并进行资源预测。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Transactions Hong Kong Institution of Engineers
Transactions Hong Kong Institution of Engineers Engineering-Engineering (all)
CiteScore
2.70
自引率
0.00%
发文量
22
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